R: Likelihood-Free Parameter Estimation using Neural Networks

# Likelihood-Free Parameter Estimation using Neural Networks

## Documentation for package ‘NeuralEstimators’ version 0.2.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

assess | assess a neural estimator
bias | computes a Monte Carlo approximation of an estimator's bias
bootstrap | bootstrap
encodedata | encodedata
estimate | estimate
loadstate | Load a saved state of a neural estimator
plotdistribution | Plot the empirical sampling distribution of an estimator.
plotestimates | Plot estimates vs. true values.
posteriormode | posteriormode
risk | computes a Monte Carlo approximation of an estimator's Bayes risk
rmse | computes a Monte Carlo approximation of an estimator's root-mean-square error (RMSE)
sampleposterior | sampleposterior
savestate | save the state of a neural estimator
spatialgraph | spatialgraph
tanhloss | tanhloss
train | Train a neural estimator